Marco De Carlo obtained his Bachelor Degree from the University of Salento, with a thesis focused on software design principles. Subsequently, he continued his studies with a Master Degree in Computer Engineering at the University of Salento. At the end of the academic course, he graduated with a thesis in High Performance Computing (HPC), developed in collaboration with Euro-Mediterranean Center on Climate Change (CMCC), titled “A Bayesian Optimization workflow for improving oil spill numerical simulations” focused on the use of Machine Learning techniques to optimize numerical model simulations, with a particular interest in oil spill events. Since November 2023, Marco has been a Post Degree Researcher, within the Advanced Scientific Computing (ASC) division of CMCC, where he is involved in research in the field of climate change and extreme events, through data science and machine learning-based approaches.